Sr Software AI Engineer

hyrusinc; Center Square (PA); On-site; USD 140,000 - 180,000; Full time

Job summary

hyrusinc is seeking a seasoned Java backend engineer in Center Square, PA to build and scale production-grade services and microservices using AI-assisted workflows.

You will review AI-generated code, ensure security, performance, and maintainability, and integrate with workflow platforms like Temporal and Camunda while contributing to CI/CD and cloud-native deployments on OpenShift/Kubernetes and AWS. Strong collaboration and communication are essential.

Qualifications

• BS or MS in Computer Science, Information Technology, Engineering, or equivalent experience.
• 5+ years of professional backend/enterprise software engineering experience.
• Strong proficiency in Java, Spring Boot, and microservices architecture, with solid REST API and integration-pattern experience.
• Demonstrated experience building and shipping production applications, using AI-assisted tools (Claude, Copilot, or similar) as part of daily workflow.
• Strong debugging, problem-solving, and code-review skills, with a detail-oriented, ownership-driven approach to quality.
• Experience with relational databases/SQL (PostgreSQL/Oracle), data modeling, and performance tuning.
• Experience with event-driven/distributed systems and CI/CD, DevOps, and container/cloud platforms (OpenShift, Kubernetes, AWS).
• Exposure to workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, or Drools).
• Strong communication and collaboration skills; ability to learn quickly in a fast-evolving technical environment; Agile experience (SAFe preferred).

Responsibilities

• Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows (Claude, Copilot) for coding, testing, debugging, and documentation.
• Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability.
• Integrate services with workflow orchestration platforms (Temporal.io, Camunda) to support automation, intelligent routing, and decision support.
• Orchestrate AI tool usage across development activities and help refine AI-native engineering standards set by the Tech Lead.
• Collaborate with the AI-Native Tech Lead, data teams, and adjacent teams to deliver features end-to-end, balancing speed, quality, and long-term maintainability.
• Participate in design discussions and code reviews; communicate technical issues and tradeoffs clearly to engineering and product stakeholders.
• Ensure adherence to client technology standards, secure coding practices, and SDLC requirements; resolve production issues and improve system performance and reliability.
• Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS).
• Continuously build AI-assisted development knowledge and help improve team engineering practices. Complete all responsibilities on the annual Performance Plan and any special projects/duties as assigned.

Skills

Java

Spring Boot

Microservices

REST API

SQL

Cloud/DevOps

AI-assisted tools

CI/CD

Agile/SAFe

Communication

Education

BS or MS in Computer Science/IT/Engineering

Tools

OpenShift

Kubernetes

AWS

Camunda

Temporal

PostgreSQL

Oracle

Job description

Responsibilities:

AI-Native Engineering

• Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows (Claude, Copilot) for coding, testing, debugging, and documentation.
• Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability.
• Integrate services with workflow orchestration platforms (e.g., Temporal.io, Camunda) to support automation, intelligent routing, and decision support.
• Orchestrate AI tool usage across development activities and help refine AI-native engineering standards set by the Tech Lead.

Collaboration & Delivery

• Collaborate with the AI-Native Tech Lead, data teams, and adjacent teams to deliver features end-to-end, balancing speed, quality, and long-term maintainability.
• Participate in design discussions and code reviews; communicate technical issues and tradeoffs clearly to engineering and product stakeholders.

Quality & Continuous Improvement

• Ensure adherence to client technology standards, secure coding practices, and SDLC requirements; resolve production issues and improve system performance and reliability.
• Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS).
• Continuously build AI-assisted development knowledge and help improve team engineering practices. Complete all responsibilities on the annual Performance Plan and any special projects/duties as assigned.

Required Qualifications:

Required

• BS or MS in Computer Science, Information Technology, Engineering, or equivalent experience.
• 5+ years of professional backend/enterprise software engineering experience.
• Strong proficiency in Java, Spring Boot, and microservices architecture, with solid REST API and integration-pattern experience.
• Demonstrated experience building and shipping production applications, using AI-assisted tools (Claude, Copilot, or similar) as part of daily workflow.
• Strong debugging, problem-solving, and code-review skills, with a detail-oriented, ownership-driven approach to quality.
• Experience with relational databases/SQL (PostgreSQL/Oracle), data modeling, and performance tuning.
• Experience with event-driven/distributed systems and CI/CD, DevOps, and container/cloud platforms (OpenShift, Kubernetes, AWS).
• Exposure to workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, or Drools).
• Strong communication and collaboration skills; ability to learn quickly in a fast-evolving technical environment; Agile experience (SAFe preferred).

Preferred Qualifications

• Experience building workflow-driven or decision-automation solutions, or with enterprise workflow platforms (Temporal.io or similar).
• Exposure to AI-native development practices, prompt-assisted workflows, and governance practices for AI-assisted development.
• Experience contributing to shared platforms/integration frameworks, or building internal developer tools and automation.
• Experience with cloud platforms (AWS, Azure, OCI) and containerization (Docker, Kubernetes).
• Background in Healthcare IT or regulated environments.